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Adaptive models have poor performance


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Adaptive models that are displayed in the adaptive models reports have low performance.

For more information about adaptive model reports, see Viewing summarized adaptive model reports.


The performance of a model is an indication of its predictive power. If the performance is low, the scores of the model have a low statistical correlation with the outcome that is to be predicted. The minimum value for the Coefficient of Concordance is 50.

There are a number of reasons why adaptive models might have low performance:

  • Adaptive models miss some values for predictors.
  • The values for predictors are not set.
  • The values for parameterized predictors are not set.
  • No active predictors are in the adaptive models.
  • The adaptive models do not receive any responses or sufficient responses.
  • The potential predictors available to the models are not correlated to the outcome.


  1. Depending on the cause, a system architect can perform the following actions:

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